Persistent Homology of Coarse-Grained State Space Networks
We compute persistent homology of coarse-grained state space networks for various dynamical systems to classify between periodic and chaotic timeseries data. This method is also compared to the ordinal partition network.
Published on March 02, 2023 by Max Chumley
tda cgssn network
Persistent Homology of Coarse-Grained State Space Networks
Audun D Myers, Max M. Chumley, Firas A Khasawneh, Elizabeth Munch
Phys. Rev. E, vol. 107, p. 034303, Mar 2023. 4